Evidence map›Paper›PMID 39191909›Full record

ArticleScientific reports2024

Transcriptome analysis of Drosophila suzukii reveals molecular mechanisms conferring pyrethroid and spinosad resistance.

Christine A Tabuloc, Curtis R Carlson, Fatemeh Ganjisaffar, Cindy C Truong, Ching-Hsuan Chen, Kyle M Lewald, Sergio Hidalgo, Nicole L Nicola, Cera E Jones, Ashfaq A Sial and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Christine A TabulocDepartment of Entomology and Nematology, College of Agricultural and Environmental Sciences, University of California Davis, California, USA.
Curtis R CarlsonDepartment of Entomology and Nematology, College of Agricultural and Environmental Sciences, University of California Davis, California, USA.
Fatemeh GanjisaffarDepartment of Entomology and Nematology, College of Agricultural and Environmental Sciences, University of California Davis, California, USA.
Cindy C TruongDepartment of Entomology and Nematology, College of Agricultural and Environmental Sciences, University of California Davis, California, USA.
Ching-Hsuan ChenDepartment of Entomology and Nematology, College of Agricultural and Environmental Sciences, University of California Davis, California, USA.
Kyle M LewaldDepartment of Entomology and Nematology, College of Agricultural and Environmental Sciences, University of California Davis, California, USA.
Sergio HidalgoDepartment of Entomology and Nematology, College of Agricultural and Environmental Sciences, University of California Davis, California, USA.
Nicole L NicolaDepartment of Entomology and Nematology, College of Agricultural and Environmental Sciences, University of California Davis, California, USA.
Cera E JonesDepartment of Entomology, University of Georgia, Athens, GA, USA.
Ashfaq A SialDepartment of Entomology, University of Georgia, Athens, GA, USA.
Frank G ZalomDepartment of Entomology and Nematology, College of Agricultural and Environmental Sciences, University of California Davis, California, USA.
Joanna C ChiuDepartment of Entomology and Nematology, College of Agricultural and Environmental Sciences, University of California Davis, California, USA. jcchiu@ucdavis.edu.ORCID 0000-0001-7613-8127

Funding

UC Davis MCB T32 Administrative Supplement to Recognize Excellence in Diversity, Equity, Inclusion, and Accessibility (DEIA) MentorshipT32GM007377 · NIGMS · UNIVERSITY OF CALIFORNIA DAVIS · PI CHEDIN, FREDERIC LOUIS · 1985 to 2023
$9.9M
The UC Davis enhanced Molecular, Cellular, and Developmental Biology Training ProgramT32GM153586 · NIGMS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Frederic Louis Chedin, ELVA D DIAZ · 2024 to 2026
$2.3M
NIGMS NIH HHS T32 GM007377NIGMS NIH HHS T32 GM153586
6 · The paper itself

Abstract

Drosophila suzukii lay eggs in soft-skinned, ripening fruits, making this insect a serious threat to berry production. Since its 2008 introduction into North America, growers have used insecticides, such as pyrethroids and spinosads, as the primary approach for D. suzukii management, resulting in development of insecticide resistance in this pest. This study sought to identify the molecular mechanisms conferring insecticide resistance in these populations. We sequenced the transcriptomes of two pyrethroid- and two spinosad-resistant isofemale lines. In both pyrethroid-resistant lines and one spinosad-resistant line, we identified overexpression of metabolic genes that are implicated in resistance in other insect pests. In the other spinosad-resistant line, we observed an overexpression of cuticular genes that have been linked to resistance. Our findings enabled the development of molecular diagnostics that we used to confirm persistence of insecticide resistance in California, U.S.A. To validate these findings, we leveraged D. melanogaster mutants with reduced expression of metabolic or cuticular genes that were found to be upregulated in resistant D. suzukii to demonstrate that these genes are involved in promoting resistance. This study is the first to characterize the molecular mechanisms of insecticide resistance in D. suzukii and provides insights into how current management practices can be optimized.

Indexed as

DrosophilaDrug CombinationsGene Expression ProfilingInsecticide ResistanceInsecticidesMacrolidesPyrethrinsAnimalsTranscriptomeDrug CombinationsInsecticidesMacrolidesPyrethrinsspinosad

Identifiers

PMID39191909
PMCPMC11349914

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.